#stochasticprojectscheduling 搜尋結果

Justin Mecham

年6月6日

Most project plans aren’t plans— They’re vague to-do lists, try this: Your team isn’t confused. Your plan is. Projects don’t get stuck because of people. They get stuck because no one knows what happens next. There’s no clear owner. No next step. No shared finish line.…

thejustinmecham's tweet image. Most project plans aren’t plans—

They’re vague to-do lists, try this:

Your team isn’t confused.

Your plan is.

Projects don’t get stuck because of people.

They get stuck because no one
knows what happens next.

There’s no clear owner.

No next step.

No shared finish line.…

siphyshu // jaiyank

@siphyshu

年8月25日

i found a very cool algorithm: poisson disc sampling it lets you place objects in a random but uniform & natural looking way it's surprising how often this algorithm shows up where you'd expect plain old .random() to work just fine it's widely used in gamedev for procedural…

Tyler Morgan-Wall

@tylermorganwall

2023年2月20日

Simulated Annealing: a stochastic optimization method inspired by nature. As "temperature" decreases, random fluctuations (that allow it to escape local minima/maxima) decrease and the particle resorts to hillclimbing. No gradient calculation required. #RStats #rayshader

Contruent

@contruent

9 小時

37% of projects fail due to unclear objectives. Strategic project selection delivers precision and speed. Score, prioritize, execute the right projects. Learn more: hubs.ly/Q03PzTz20 #ProjectManagement

contruent's tweet image. 37% of projects fail due to unclear objectives. Strategic project selection delivers precision and speed. Score, prioritize, execute the right projects.

Learn more: hubs.ly/Q03PzTz20 #ProjectManagement

Green Pool

@Green22229Pool

年9月30日

Minimizing uncertainties at the planning stage is essential, since unexpected events will inevitably arise during execution. Doing so prevents new problems from compounding while we respond to situations—a principle obvious in theory but often overlooked by the inexperienced.

Green22229Pool's tweet image. Minimizing uncertainties at the planning stage is essential, since unexpected events will inevitably arise during execution. Doing so prevents new problems from compounding while we respond to situations—a principle obvious in theory but often overlooked by the inexperienced.

Sham Kakade

@ShamKakade6

年10月18日

1/6 Introducing Seesaw: a principled batch size scheduling algo. Seesaw achieves theoretically optimal serial run time given a fixed compute budget and also matches the performance of cosine annealing at fixed batch size.

ShamKakade6's tweet image. 1/6 Introducing Seesaw: a principled batch size scheduling algo. Seesaw achieves theoretically optimal serial run time given a fixed compute budget and also matches the performance of cosine annealing at fixed batch size.

Sonya Siderova

@SonyaSiderova

11 小時

If there’s a wide gap between percentiles, your system isn’t just slow—it’s unstable and unpredictable. What does your Cycle Time Scatterplot look like → getnave.co/4kAThJP #NavigateYourFlow #Kanban #Agile #Estimating #Forecasting

SonyaSiderova's tweet image. If there’s a wide gap between percentiles, your system isn’t just slow—it’s unstable and unpredictable. What does your Cycle Time Scatterplot look like → getnave.co/4kAThJP

#NavigateYourFlow #Kanban #Agile #Estimating #Forecasting

Vinod Sharma

@VinodSharma10x

年10月6日

If you’re a programmer with a full-time job and a startup dream, time is your biggest enemy. You finish work exhausted, open your laptop with good intentions, and then... Nothing happens. Too many ideas. Too little time. I’ve been there. I used to jump between ten…

VinodSharma10x's tweet image. If you’re a programmer with a full-time job and a startup dream, time is your biggest enemy.

You finish work exhausted, open your laptop with good intentions, and then...

Nothing happens.
Too many ideas.
Too little time.

I’ve been there.

I used to jump between ten…

LaurieWired

@lauriewired

年8月9日

Scale is hard. Incremental Expansion is even harder. Designing a topology *flexible* enough for incremental growth is an insanely difficult computer science problem. Well defined structures often hinder expansion. Here's why (controlled) randomness can help:

lauriewired's tweet image. Scale is hard. Incremental Expansion is even harder.

Designing a topology *flexible* enough for incremental growth is an insanely difficult computer science problem.

Well defined structures often hinder expansion.

Here's why (controlled) randomness can help:

Xavier Warzee

@xwarzee

10 小時

Busy ≠ Predictable: How Scrum Optimizes Predictability (Without Illusions of Control) | Scrum.org

Dr Milan Milanović

@milan_milanovic

2024年6月6日

𝗪𝗵𝘆 𝗱𝗼 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗺𝗼𝗺𝗲𝗻𝘁? At the beginning of every project, we face many important decisions. Unfortunately, we often make these decisions with limited knowledge. As our understanding…

milan_milanovic's tweet image. 𝗪𝗵𝘆 𝗱𝗼 𝘆𝗼𝘂 𝗻𝗲𝗲𝗱 𝘁𝗼 𝗺𝗮𝗸𝗲 𝗱𝗲𝗰𝗶𝘀𝗶𝗼𝗻𝘀 𝗮𝘁 𝘁𝗵𝗲 𝗹𝗮𝘀𝘁 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗺𝗼𝗺𝗲𝗻𝘁?

At the beginning of every project, we face many important decisions. Unfortunately, we often make these decisions with limited knowledge. As our understanding…

Keenan Crane

@keenanisalive

2023年11月20日

Different kinds of random walks ("stochastic processes") can be used to express solutions to many fundamental equations found in science & engineering ("PDEs"). These can in turn be used to develop Monte Carlo solvers. Here I visually catalog a few of the connections. #MCMA2023

Santiago

@svpino

2023年8月31日

Story Points don't work. Even Ron Jeffries, who invented them, said he was sorry years ago. And not only did he apologize, but he called the whole estimation idea "Evil." Unfortunately, too many teams still use these points to estimate their work. Story Points is a made-up…

svpino's tweet image. Story Points don't work.

Even Ron Jeffries, who invented them, said he was sorry years ago.

And not only did he apologize, but he called the whole estimation idea "Evil."

Unfortunately, too many teams still use these points to estimate their work.

Story Points is a made-up…

Mark Tenenholtz

@marktenenholtz

年2月7日

Tuning the random seed to squeeze out 1% more on the benchmark

Webstudio

@getwebstudio

年10月18日

Enhancing variability of designs using probabilistic sampling. Based on the new research paper, we attempted to improve variability, did we succeed?

Quantum Physics

@QuantumPapers

年10月20日

Trust Region Bayesian Optimization of Annealing Schedules on a Quantum Annealer. arxiv.org/abs/2510.15245

QAD

@QAD_Community

年10月16日

Managing the Planning and Scheduling Paradox | QAD Blog bit.ly/4nUym6U

Ashish Pratap Singh

@ashishps_1

2024年9月12日

I published a new System Design interview problem on my blog: Design a Distributed Job Scheduler Read it here: blog.algomaster.io/p/design-a-dis… Subscribe for more such articles every week.

Aaron Figueroa

@AaronLouie

年10月18日

AI projects are NOT "it depends." They fit into 3 buckets: Simple (hours), Standard (weeks), or Complex (months). #aitimeline #businessautomation #projectmanagement

Algorithms MDPI

@Algorithms_MDPI

2021年1月7日

[Article] An Algorithm for Efficient Generation of Customized Priority Rules for Production Control in Project Manufacturing with Stochastic Job Processing Times Fully #openaccess @ lnkd.in/g_-GM3W #simulationbasedoptimization #stochasticprojectscheduling #algorithms

Algorithms_MDPI's tweet image. [Article] An Algorithm for Efficient Generation of Customized Priority Rules for Production Control in Project Manufacturing with Stochastic Job Processing Times

Fully #openaccess @ lnkd.in/g_-GM3W

#simulationbasedoptimization
#stochasticprojectscheduling
#algorithms

未找到 "#stochasticprojectscheduling" 的結果

Probability and Statistics

@probnstat

年5月24日

1/5 On STOCHASTIC DIFFERENTIAL EQUATIONS:

Tech Ops Geek

@Sznd_Freelancer

年10月17日

#Wisdom #Efficiency #DecisionMaking #BrainGame shrts.in/3eals7ihdd

Random Baldi Renders Every OTHER Hour

@RandomBaldiHour

年11月10日

Stuck on a puzzling problem? Better put your thinking cap on!

Hugh Kearns

@ithinkwellHugh

2024年9月17日

Shiny new project. Do you have the time? No: --> Don't do it. Yes: --> No you don't.

ithinkwellHugh's tweet image. Shiny new project.
Do you have the time?
No: --&gt; Don't do it.
Yes: --&gt; No you don't.

ParametricArchitecture

@parametricarch

2024年1月5日

8 AI-powered sketch-to-image generators for designers. parametric-architecture.com/8-ai-powered-s…

TheRedPixel

@theredpix

年8月24日

I was tasked with optimizing this project 🥲#unreal #blueprints #gamedev #programming

🅻 sᴛᴜᴅɪᴏ

@lajevardistudio

年10月16日

Just trying to confuse the algorithm in style.

Enstoa, a Consertus Company

@enstoa

2019年5月29日

Choosing your next building project is a process that often runs on gut and instinct. For our blog, we wrote about some new approaches to evidence-based project sequencing and how they can help ensure you're getting maximum ROI: enstoa.com/blog/mathemati…

enstoa's tweet image. Choosing your next building project is a process that often runs on gut and instinct. For our blog, we wrote about some new approaches to evidence-based project sequencing and how they can help ensure you're getting maximum ROI: enstoa.com/blog/mathemati…

Sham Kakade

@ShamKakade6

年10月18日

Constant

@constant006

年10月21日

Turning schedules into something you'll enjoy looking at 🫴🗓️, even my department's timetable needs a glow up

CYM-K (TPOT Spoilers)

@PRINTR_INK

年11月13日

using a randomizer to pump out some design ideas

Nicolas Neubert

@iamneubert

2023年8月11日

🧪 Ibiza + Chaos Parameter in #Midjourney One of my favourite tricks when prompting is using the chaos parameter. Let's see how I use it to scale my output. To supercharge this parameter, combine it with Variations (Strong) and scale your mood boards in minutes from one prompt!…